Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks

Engineering & Materials Science

• Office buildings 100%
• Identification (control systems) 77%
• Energy utilization 62%
• Neural networks 53%
• Air conditioning 35%
• Electricity 25%
• Feedforward neural networks 19%
• Learning systems 18%
• Conservation 17%
• Maximum likelihood 16%
• Principal component analysis 16%
• Machine learning 12%

Earth & Environmental Sciences

• energy consumption 78%
• electricity consumption 45%
• prediction 44%
• air conditioning 42%
• venting 21%
• energy use 18%
• parameter 18%
• machine learning 17%
• effect 16%
• artificial neural network 16%
• principal component analysis 14%
• test 6%